The proposed project will assess and quantify the energy transfer from wildland fires as it relates to coverage of vegetative fuel with wildland fire chemicals for protection of wildland/urban interfaces. The project will extend on preliminary work on the relative performance of wildfire chemicals (e.g., water, gel, foam, and long-term retardants) on forest vegetation. The […]

Curatorial studies is a well-established field of research in the visual arts. However, curating and programming are probably among the most understudied areas in film and media scholarship. While I participate in defining the official selection of Latin American movies for the 2017 edition of the Toronto International Film Festival, I will gather tools to […]

Calves in dairy production systems have been traditionally fed low amounts of milk to encourage solid feed intake which is thought to minimize stress during weaning. It is unclear how feeding an elevated amount of milk pre-weaning and the digestibility of the solid feed has on gut health and function in dairy calves – which […]

Near-field measurement is a key and inseparable part of Antenna characterization and electromagnetic diagnosis applications. Providing a fast method to perform this type of measurement will be of significant added value to the RF industry. Traditionally, near-field measurements are performed inside an echoic chambers and using a mechanically sweeping probe. This type of measurement is […]

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered […]

My proposed research deals with the traditional Indian medical system called Ayurveda. Ayurveda not only played a major role in the healthcare of ancient and medieval India, but it also plays a major role as a Government-supported health care system in contemporary South Asian societies. Furthermore, internationally, ayurveda therapies and practices (which are manifold) have […]

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, […]

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that customers’ decisions are rooted in an accurate […]

The Alberta Biodiversity Monitoring Institute (ABMI) monitors biodiversity across Alberta. ABMI has developed an application called NatureLynx to facilitate the collection of natural history observations by broad stakeholders, including the public. This application will enable people who are not professional scientists to participate in the process of collecting data; this is called citizen science. Initially, […]

Agriculture/ Agri-Food Canada (AAFC) and Campbell Scientific Canada (CSC) have been operating an “eddy covariance” (EC) meteorological tower near Lacombe, Alberta that measures the flux of carbon dioxide (CO2) between agricultural fields and the atmosphere. This tower provides data that is used to assess plant growth and decomposition across fields which is critical for understanding […]

Noise interference is often a major challenge in signal recognition. In this project, our goal is to monitor ground and infrastructure movement based on data acquired using smart sensor technology. While related works have been extensively discussed in the literature, our contribution lies in exploring a reverse engineering procedure to remove noise from raw captured […]